Bibliographic record
Abstract
Using 27-year-old Canadian beauty blogger Estée Lalonde as a site of automedia analysis (Maguire 2015), this paper argues that through the enactment of domestic femininity in the public sphere, social media influencers embody postfeminist ideals of individual empowerment while selling their branded selves through networked intimacy (Abidin 2015; Gill, 2016). Methodologically, I approach the case study with an understanding of the intersection between online platforms of the intersection between online platforms, life writing, and constructions of the self. Using cross-promotion, scheduled posts, and self-branding, influencers create a cohesive branded self, emphasizing perceived authenticity and a sense of community among followers. The exercise of self-branding is used to gain cultural and material capital (Hearn, 2008). Understanding postfeminism as an analytical lens through which we can problematize media texts (Gill, 2016), I argue that influencer marketing privileges a one-dimensional, postfeminist representation of an empowered young woman following her life’s passion (Duffy & Hund, 2015).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.014 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.029 | 0.006 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".